DevGen.AI Lead Product Engineer-Executive Director
Marks & Spencer Group plc1 hour ago
Base Salary
$195k - $275k/yr
Responsibilities
- Lead DevGen.AI product execution across platform capabilities, reusable agents, prompts, patterns, accelerators, APIs, and adoption workflows.
- Partner with engineering, architecture, governance, SRE, security, and divisional teams to move use cases from experimentation through enterprise implementation.
- Orchestrate intake for high-value demand and translate customer needs, usage data, and recurring enterprise requirements into prioritized product backlog themes.
- Drive the Innovate, Incubate, and Implement lifecycle, including feasibility validation, pilot measurement, governance gates, production readiness, and scalable launches.
- Build and guide rapid prototypes, proofs of concept, reference implementations, technical playbooks, and reusable patterns.
- Coordinate responsible AI delivery by embedding controls, completeness, accuracy, timeliness, and measurement practices.
- Champion InnerSource contributions and lead community enablement through office hours, demos, onboarding, documentation, and knowledge-sharing forums.
- Track and improve adoption, productivity, ROI, contribution, and platform impact metrics for stakeholders and senior leadership.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, Information Systems, or a related technical discipline.
- 10+ years of experience in software engineering, product engineering, solution architecture, AI platforms, developer platforms, or enterprise technology delivery.
- Strong product engineering experience delivering enterprise platforms, developer tools, AI/LLM applications, or internal technology products.
- Hands-on understanding of generative AI, LLMs, prompt engineering, agentic architectures, RAG patterns, evaluation methods, and responsible AI delivery.
- Ability to translate customer needs into reusable platform capabilities, backlog priorities, technical patterns, and implementation roadmaps.
- Experience leading engineers, product squads, solution engineering teams, or cross-functional delivery across multiple stakeholder groups.
- Technical fluency in APIs, cloud-native engineering, platform architecture, software delivery lifecycle, observability, access control, and production readiness.
- Demonstrated ability to build prototypes, reference implementations, technical documentation, reusable accelerators, and developer enablement materials.
- Excellent communication, prioritization, execution, and stakeholder-influence skills, including the ability to influence without direct authority.
- Experience in global, matrixed, regulated, and highly collaborative enterprise technology environments.
- Proven track record delivering enterprise-scale platforms or reusable technology capabilities with measurable adoption and business impact.
- Preferred experience with LangChain, LangGraph, Semantic Kernel, MCP, multi-agent orchestration, vector search, RAG pipelines, Azure OpenAI, AWS Bedrock, Google Vertex AI, AI gateways, governance, model evaluation, risk controls, entitlement management, monitoring/SRE, secure architecture, and production support.
Benefits
- Comprehensive employee benefits and perks supporting employees and their families throughout their work-life journey.
- Opportunities for internal mobility across the business for employees who demonstrate passion and strong performance.
- Base pay is expected to be between $195,000 and $275,000 per year at commencement, with additional compensation and benefit programs potentially available.
- Morgan Stanley supports diversity, inclusion, and equal employment opportunity.
Categories
AI ApplicationsProduct Engineering